Automatic generation of electronic advertising messages containing one or more automatically selected stock photography images

ABSTRACT

A facility for constructing a display module in connection with a web page is described. The facility obtains content associated with the web page and uses the obtained content to generate a query used to select an image. The facility then generates the display module that incorporates the selected image.

CROSS REFERENCE TO RELATED APPLICATION(S)

This application is a continuation application of U.S. patentapplication Ser. No. 16/856,018, filed Apr. 22, 2020, which is acontinuation of U.S. patent application Ser. No. 15/242,848, filed Aug.22, 2016 (U.S. Pat. No. 10,672,037), which is a continuation applicationof U.S. patent application Ser. No. 13/542,605, filed Jul. 5, 2012 (U.S.Pat. No. 9,436,953), and entitled “AUTOMATIC GENERATION OF ELECTRONICADVERTISING MESSAGES CONTAINING ONE OR MORE AUTOMATICALLY SELECTED STOCKPHOTOGRAPHY IMAGES,” which is a continuation application of U.S. patentapplication Ser. No. 12/572,207, filed on Oct. 1, 2009, and entitled“AUTOMATIC GENERATION OF ELECTRONIC ADVERTISING MESSAGES CONTAINING ONEOR MORE AUTOMATICALLY SELECTED STOCK PHOTOGRAPHY IMAGES,” each of whichis herein incorporated by reference in its entirety.

TECHNICAL FIELD

The described technology is directed to the field of online advertising,and more particularly, to the field of automatic generation ofelectronic advertising messages.

BACKGROUND

The world wide web (“the web”) permits companies and individuals toelectronically publish content in the form of web pages that can beretrieved and displayed using a browser program running on a clientcomputer system. Such “publishers” often sell to advertisersopportunities to present advertising messages together with theirpublished content.

For example, an advertiser who is a music publisher may purchaseopportunities to present an advertising message promoting a new music CDpublished by the publisher. The advertising message may be “rich” in avariety of ways. They may, for example, include text identifying thetitle of the CD and the responsible artist in a style that is visuallycompatible with an appealing background pattern and/or color, a seriesof multiple photos of the artist, a link to a web page on which the usercan listen to the artist's music and purchase the CD, etc. Somepublishers, in addition or instead of such rich advertising messages,provide advertisers opportunities to present textual advertisingmessages, which generally include only text and a link to a web pageassociated with the advertising message. Some textual advertisingmessages are search advertising messages, which specify one or morekeywords, and are presented in search result web pages served by apublisher in response to a user query containing at least one of thespecified keywords. Because textual advertising messages do not containany rich content, they can be relatively straightforward to create,rendering them accessible to a wide range of advertisers.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a high-level data flow diagram showing data flow within atypical arrangement of components used to provide the facility.

FIG. 2 is a block diagram showing some of the components typicallyincorporated in at least some of the computer systems and other deviceson which the facility executes.

FIG. 3 is a flow diagram that shows steps typically performed by thefacility in some embodiments in order to automatically generate one ormore advertising messages.

FIG. 4 is a display diagram showing a sample page containing a controlthat the user may activate in order to generate advertising messagesbased upon the sample page.

FIG. 5 is a flow diagram showing steps performed by the facility in someembodiments in order to identify assets employed in the model page.

FIG. 6 is a table diagram showing sample contents of a listing tableused by some embodiments of the facility to map from groups of model webpages to a listing ID specifying a set of parsing instructions to use toparse model web pages of the group.

FIG. 7 is a table diagram showing sample contents of a parsinginstructions table used by the facility in some embodiments to specify aset of parsing instructions to use to parse a model web page.

FIG. 8 is a flow diagram showing steps typically performed by thefacility in some embodiments when a page contains source for anadvertising message generation control that causes a form containingdata that is needed or useful to generate an advertising message for thesubject page to be posted to a server on which the facility isexecuting.

FIG. 9 is a display diagram showing a sample preview display presentedby the facility.

FIG. 10 is a display diagram showing a typical display presented by thefacility to enable the user to modify advertising messages generated bythe facility.

FIG. 11 is a flow diagram showing steps typically performed by thefacility in order to generate display advertising messages based upon atextual advertising message feed received from a publisher.

FIG. 12 is a flow diagram showing steps typically performed by thefacility in order to automatically select one or more stock photographyimages based upon text associated with the model web page.

FIG. 13 is a table diagram showing sample contents of a categorymatching table that identifies words and/or phrases that characterizesubject matter categories.

FIG. 14 is a flow diagram showing steps typically performed by thefacility in order to determine a score for each category indicating theextent to which the text relates to the category.

DETAILED DESCRIPTION

The inventors have recognized that the kind of rich advertising messagesdescribed above often require specialized expertise and significanteffort to generate. The inventors have further recognized that thesesubstantial requirements for effectively generating rich advertisingmessages tend to limit the availability of such rich advertisingmessages to a relatively small number of sophisticated, well-fundedadvertisers who are in a position to satisfy those requirements. Theinventors have further recognized that, if less expertise and effort wasrequired to effectively generate rich advertising message, richadvertising messages would become available to a much wider populationof advertisers.

A software facility for automatically generating electronic advertisingmessages (“the facility”) is described. The facility uses an existingweb page—sometimes referred to as the “model web page”—as a basis forautomatically generating an advertising message, such as a displayadvertising message. For example, the facility may use as the model webpage the web page to which the advertising message will be linked, theadvertiser's home page, or another page having both the content and thelook and feel desired for the generated advertising message.

In some embodiments, the facility extracts elements such as backgroundand text colors, textual content, and rich media from the model web pageand populated into the advertising message. In some embodiments, theextraction is fully automatic. In some embodiments, the facility guidesthe user through selecting in the page the elements to be extracted. Insome embodiments, the facility presents a user interface that the usermay use to modify the advertising message generated by the facility.

In some embodiments, the facility performs the extraction by parsingHTML or a document in another markup language that defines the model webpage. In some embodiments, the facility extracts elements from the modelweb page by causing the elements to be exported by the publisher of themodel web page or a related page via a mechanism other than serving themodel web page, such as by using a specialized interface establishedbetween the publisher of the model web page and the operator of thefacility.

In some embodiments, the facility receives from a publisher a feeddescribing each of a number of textual advertising messages known to thepublisher, such as textual advertising messages sold by the publisher,and/or textual advertising messages sold to advertisers who presentinformation via the publisher. (Advertisers who present information viaa publisher may be, for example, businesses for which a local businessdirectory web site such as Citysearch or local.com contains a directorypage, also called the business's profile page. The feed may describespecial advertising messages sold to the advertiser by this publisher orother sellers.) These textual advertising messages may be search textualadvertising messages, or textual advertising messages of various othertypes. The feed may contain essentially all of the textual advertisingmessages in these categories, or any subset of them. In response toreceiving the feed, the facility generates one or more displayadvertising messages for each textual advertising message described inthe feed. In particular, the description in the feed of each textualadvertising message contains information, such as a URL, identifying aweb page linked to from the textual advertising message or otherwiseassociated with the textual advertising message; the facility generateseach display ad based upon the content of the identified web page. Thesegenerated display advertising messages can be presented on behalf ofadvertisers that were capable of generating a simple textual advertisingmessage, but would have had trouble generating a more sophisticateddisplay advertising message.

In some embodiments, in connection with generating an advertisingmessage, the facility causes the generated advertising message presentedby one or more publishers. In some embodiments, such presentation is inaccordance with or otherwise based upon ad-buy parameters—such as price,periodic budget, and geographic region—specified by the advertiser forthe textual advertising message and included in the textual advertisingmessage feed. In various embodiments, such presentation is based upon anarrangement between the operator of the facility and the advertiser, thepublisher providing the feed, or both.

In some embodiments, where the model web page does not contain adequateor appropriate rich media, the facility uses text associated with themodel web page to automatically select stock photography images forinclusion in the advertising message generated by the facility. Forexample, the text used by the facility for this purpose may come fromthe web page to which the generated advertising message will be linked,a textual advertising message for this web page, or a web page that isrelated to this web page, or may be explicitly inputted by a userassociated with the advertiser for which the facility is generating theadvertising message. In some embodiments, the facility processes wordsand phrases indicated by this text to construct a query that thefacility submits to a search engine provided by a stock photographyimage service. The facility then makes use of one or more of the imagesidentified by the response to this query in generating the advertisingmessage.

By automatically generating advertising messages in some or all of theways described above, the facility enables a user without specializedexpertise to quickly and straightforwardly generate an effective richadvertising message, making rich advertising messages available to amuch wider population of advertisers.

FIG. 1 is a high-level data flow diagram showing data flow within atypical arrangement of components used to provide the facility. A numberof web client computer systems 110 that are under user control generateand send page view requests 231 to one or more logical web servers 100via a network such as the Internet 120. Within the web server, theserequests may either all be routed to a single web server computersystem, or may be loaded-balanced among a number of web server computersystems. The web server typically replies to each with a served page132. Web servers 100 may include web servers operated by publishers ofweb pages that present advertising messages, are linked to fromadvertising messages, or both. Web servers 100 may also include one ormore web servers implementing aspects of the facility.

While various embodiments are described in terms of the environmentdescribed above, those skilled in the art will appreciate that thefacility may be implemented in a variety of other environments includinga single, monolithic computer system, as well as various othercombinations of computer systems or similar devices connected in variousways. In various embodiments, a variety of computing systems or otherdifferent client devices may be used in place of the web client computersystems, such as mobile phones, personal digital assistants, televisionsand associated video sources, cameras, etc.

FIG. 2 is a block diagram showing some of the components typicallyincorporated in at least some of the computer systems and other deviceson which the facility executes. These computer systems and devices 200may include one or more central processing units (“CPUs”) 201 forexecuting computer programs; a computer memory 202 for storing programsand data while they are being used; a persistent storage device 203,such as a hard drive for persistently storing programs and data; acomputer-readable media drive 204, such as a CD-ROM drive, for readingprograms and data stored on a computer-readable medium; and a networkconnection 205 for connecting the computer system to other computersystems, such as via the Internet. While computer systems configured asdescribed above are typically used to support the operation of thefacility, those skilled in the art will appreciate that the facility maybe implemented using devices of various types and configurations, andhaving various components.

FIG. 3 is a flow diagram that shows steps typically performed by thefacility in some embodiments in order to automatically generate one ormore advertising messages. In step 301, the facility receives user inputidentifying a model page upon which to base the generated advertisingmessages. The user input typically identifies the model page byspecifying its URL, and can be received from the user in a variety ofways. In some embodiments, the facility serves a web page (not shown) tothe user, and asks the user to type or paste the URL of the model pageinto a model page URL field. In some embodiments, the operator of thefacility works with one or more publishers to cause an advertisingmessage generation control to be incorporated in a number of differentpotential model pages.

FIG. 4 is a display diagram showing a sample page containing a controlthat the user may activate in order to generate advertising messagesbased upon the sample page. The sample page 400 has a variety ofcontents, including the name 401 of an auto dealer selling a car; text402 identifying the car; the listing price 403 for the car; and the city404 in which the auto dealer is located. The model page also includes anumber of thumbnail images 411-414, any of which the user can select todisplay at a larger size in space 410. The facility includes a number ofcolors, including the color of a logo 421, the color of the background422, the color of the background of the selected tab 423, and the colorof text such as text 414. In some embodiments, the extraction performedby the facility in step 301 extracts all of the above-discussed visualfeatures. In a variety of embodiments, the facility extracts variousother combinations of features contained by the page.

The page also contains control 450 that the user may activate in orderto generate advertising messages for this page. In some embodiments,this control is included only in instances of the page served to a userwho is the “owner” of the page, in this case a user associated with theauto dealer that is selling the car. In some embodiments, activation ofthis control causes the user's browser to send a request or othercommunication to a server on which aspects of the facility areexecuting. This communication contains the URL of the page, or someother basis for identifying the page such as a page ID.

Returning to FIG. 3 , in step 302, the facility identifies assetsemployed in the model page, such as those described above in connectionwith FIG. 4 . In some cases, this involves copying text, fonts, orcolors that appear in the HTML code for the model page. In some cases,it involves copying references to external resources that areincorporated in the page, such as the URLs for each of the full-sizeversions of images 411-414, video or audio files, flash animations, etc.In some embodiments, the facility performs step 302 by retrieving a copyof the web page using its URL, and parsing the web page to extract tags,tag attributes, tag values, and other content expected to be relevant tothe page.

FIG. 5 is a flow diagram showing steps performed by the facility in someembodiments in order to identify assets employed in the model page. Instep 501, the facility uses the URL of the model web page to identify inthe listing table a listing ID to which the model web page corresponds.

FIG. 6 is a table diagram showing sample contents of a listing tableused by some embodiments of the facility to map from groups of model webpages to a listing ID specifying a set of parsing instructions to use toparse model web pages of the group. The listing table 600 is made up ofrows, such as row 611, each corresponding to one of the groups of modelweb pages. Each row is divided into the following columns: a listing IDcolumn 601; a target site column 602 identifying the domain of web pagesin this group; a product category identifying the category of item thatis described by the Web pages in this group; and a version number thatindicates a particular version of parsing instructions constructed forthis group of web pages. With respect to the sample model web page, thefacility uses the listing table to determine that listing ID one shouldbe used, based upon the URL of the model web page being in the cars.comdomain, the model web page corresponding to product category 11 forautomobiles, and version number 1 being the largest version for thatcombination of target site and product category in the listing table.

Returning to FIG. 5 , in step 502, the facility selects the rows of theparsing instructions table having a listing ID identified in step 501.

FIG. 7 is a table diagram showing sample contents of a parsinginstructions table used by the facility in some embodiments to specify aset of parsing instructions to use to parse a model web page. Theparsing instructions table 700 is made up of rows, such as rows 711-719,each corresponding to the parsing instruction for one property to beextracted from the model web page. Each row is divided into thefollowing columns: a listing ID column 701 in which the facility matchesthe listing ID identified in step 501; a property name column 702specifying a name attributed to the feature to be extracted from themodel web page; a count column 703 indicating the maximum number ofmatching features to extract from the model web page for the property; acontainer element column 704 specifying a type of tag to be matched forthe property; a container class column 705 specifying a particular classof the container element to be matched; a container attribute column 706specifying a particular attribute of the matching tag whose value is tobe copied; a search expression column 707 specifying a regularexpression to be matched by the copied text; and it and ignore casecolumn 708 specifying whether the search expression in column 707 is tobe treated as case insensitive. Typically, the rows of the parsinginstructions table corresponding to a particular listing are generatedby a human agent based upon a review of the HTML source for a sample ofpages published by a publisher.

In steps 503-505, the facility loops through each row of the parsinginstructions table selected in step 502. In step 504, the facilityextracts one or more features from the HTML source for the model webpage in accordance with the parsing instructions contained in the row.In step 505, if additional selected rows of the parsing instructionstable remain to be processed, then the facility continues in step 503 toprocess the next selected row, else these steps conclude. In someembodiments (not shown), the facility similarly applies the parsinginstructions to pages linked to from the model web page. In someembodiments, links are only followed for this purpose if they identify aURL in the same domain as the model web page. In some embodiments (notshown), the facility similarly applies the parsing instructionsrecursively in this manner, up to a predetermined maximum depth, such asthree.

The application of the sample contents shown in the parsing instructionstable 700 is discussed below in connection with the HTML source for thesample model web page shown below in Table 1.

TABLE 1  1. <!DOCTYPE html PUBLIC “-//W3C//DTD XHTML 1.0Transitional//EN”  2.“http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd”>  3. <htmlxmlns=“http://www.w3.org/1999/xhtml”>  4. <!-- Memberdata.zip=‘93401’-->  5. <!-- end: _MemberPhone.jsp  6. MemberPhone=‘866-277-8981’  7.isTollFree=‘true’  8. sessionScope.useTollFree=‘false’  9. --> 10.<head> 11.  <title> 2006 Honda Odyssey EX-L</title> 12.  <metaname=“description” content=“”/> 13.  <meta name=“keywords” content=“”/>14.  <header_color val=“0x562cab” /> 15.  <background_colorval=“0xffffff”/> 16.  <title_font_color val=“0xf5812c”/> 17. <body_font_color val=“0x888888”/> 18. <img class=“photo_1”name=“tnImg0” id=“tnImg0”src=“http://images.cars.com/thumbnail/DMI/25289/11517.jpg” alt=“”onerror=“document.getElementById(‘tn0’).style.display=‘none’;”/> 19.<img class=“photo_2” name=“tnImg1” id=“tnImg1”src=“http://images.cars.com/thumbnail/DMI/25289/11517.02.jpg” alt=“”onerror=“document.getElementById(‘tn1’).style.display=‘none’;”/> 20.<img class=“photo_3” name=“tnImg2” id=“tnImg2”src=“http://images.cars.com/thumbnail/DMI/25289/11517.03.jpg” alt=“”onerror=“document.getElementById(‘tn2’).style.display=‘none’;”/> 21.<h1> 22. 2006 Honda Odyssey EX-L - <spanclass=“Price”>$27,967</span><span id=“mdFlag” class=“nwListOn”></span>23. </h1> 24. <span class=“label”>Member_Name</span> <spanclass=“data”>Toyota of Santa Maria</span> 25. function clearValue(field){ 26.  if(field.value.indexOf(“Enter Your Message Here”) != −1){ 27.  field.value = ‘’; 28.   field.style.color = ‘#333333’; 29.  <divid=“aboutSellerBox” class=“Dealer”> 30.   <h2>About the Dealer</h2> 31.   <div id=“sellerAddress”> 32.    <div class=“dataPoint”> 33. <spanclass=“member_name”>Toyota of Santa Maria</span> 34.     </div> 35.   <div class=“dataPoint”> 36.      <span class=“phone”>866-277-8981 37.     <imgsrc=“http://a137.g.akamai.net/n/137/3538/20060217221024/www.cars.com/search/images/phone_Icon.gif”/>38.    </div> 39.    <div class=“address”> 40.     <spanclass=“Location”> 41.      700 East Betteravia Road 42.      Santa Maria43.      CA 44.     </span> 45. </body> 46. </html>

To process row 711 of the parsing instructions table, the facilitysearches the HTML source for the first-occurring span tag having theclass member name, which it finds in line 33. Because row 711 does notspecify a particular attribute of the span tag whose value is to becopied, the facility copies the content of the tag, “Toyota of SantaMaria.” To process row 712 of the parsing instructions table, thefacility searches the HTML source for the first-occurring title tag,which it finds in line 11. The facility copies the content of the tag,“2006 Conduct Odyssey EX-L.” To process 713, the facility searches forthe first-occurring span tag having the class location, which it findsin line 40. In accordance with the search expression specified in row713, the facility copies the text between the first and second new-linecharacter in the content of the tag, i.e., “Santa Maria.” To process row714, the facility searches for the first-occurring span tag having theclass price which it finds in line 22, and copies the content of thetag, “$27,967.” To process row 715, the facility searches for thefirst-occurring three img tags whose src attribute has a value matchingthe search expression specified in row 715. These occurrences are inlines 18, 19, and 20, from each of which the facility copies the URLtext. To process row 716, the facility searches for the first-occurringheader color tag which it finds in line 14, and copies the value of theval attribute, “0x562cab.” To process row 717, the facility searches forthe first-occurring background_color tag which it finds in line 15, andcopies the value of the val attribute, “0xffffff.” To process row 718,the facility searches for the first-occurring title_font_color tag whichit finds in line 16, and copies the value of the val attribute,“0xf5812c.” To process row 719, the facility searches for thefirst-occurring body_font_color tag which it finds in line 17, andcopies the value of the val attribute, “0x888888.”

In various embodiments, the facility uses a wide variety of regularexpression schemes to specify the search expressions contained in column707, including but not limited to those used by the Microsoft VisualBasic scripting language and the PHP hypertext processor. In someembodiments, the grammar used by the facility has one or more of thefollowing characteristics:

-   -   Vertical Bar, |, is used to separate alternatives. For example,        http://|https://can match “http://” or “https://”.    -   Parentheses are used to define the scope and precedence of        operators. For example, grayigrey and gr(ale)y are equivalent        patterns which both describe the set of “gray” and “grey”.    -   The {circumflex over ( )} character, contained in brackets []        means “not”. In these examples, [{circumflex over ( )}″] means,        “match all characters that are NOT a double quote”.    -   A quantifier after a token (such as a character) or group        specifies how often that preceding element is allowed to occur.    -   The question mark quantifier indicates there is zero or one of        the preceding element. For example, colou?r matches both “color”        and “colour”.    -   The asterisk quantifier indicates there are zero or more of the        preceding element. For example, ab*c matches “ac”, “abc”,        “abbc”, “abbbc”, and so on.    -   The plus-sign quantifier indicates that one or more of the        elements preceding it must exist. In these examples,        [{circumflex over ( )}″]+ means that there must exist one or        more characters in this spot that is not the double-quote        character.

Additional examples of search expression pattern matching follow. Theexamples assume that the HTML source for the model web page is thatshown below in Table 2.

TABLE 2 1. <imgsrc=“http://www.images.com/images/user/small/4773237b783nxgh34.jpg”> 2.<imgsrc=“http://www.images.com/images/user/small/4773237b783nxgh34.gif”> 3.<img src=“http://www.images.com/images/user/medium/94987348745.jpg”> 4.<img src=“https://www.images.com/images/user/medium/aksdfuISJSIVK.gif”>5. <imgsrc=“https://www.images.com/images/user/large/aksdfuISJSIVK.jpg”> 6.<imgsrc=“https://www.images.com/images/user/large/IskvisIjghi83248498.gif

A first example is a search expression that returns only .jpg images ofany size:

-   -   (http://|https://)www.images.com/images/user/(small|medium|large)/[{circumflex        over ( )}″]+.jpg

This search expression returns the URLs in lines 1, 3, and 5. A secondexample is a search expression that returns only medium-sized .jpgimages:

-   -   (http://|https://)www.images.com/images/user/mediume/[{circumflex        over ( )}″]+.jpg

This search expression returns the URL in line 3. A third example is asearch expression that returns only non-secure (http) .jpg and .gifimages of any size:

-   -   (http://www.images.com/images/user/(small|medium|large)/[{circumflex        over ( )}″]+.(jpg|gif)

This search expression returns the URLs in lines 1, 2, and 3.

In some embodiments, the operator of the facility makes arrangementswith one or more web publishers under which the web publishers makeavailable a direct interface that may be called by the facility todirectly retrieve information about the assets employed in any pagepublished by the publisher. In such embodiments, step 302 involvessending a request to the publisher's interface that identifies the modelpage, such as by providing a URL or page ID for the page. The publisherresponds with a response expressly identifying the assets to beincorporated in the generated advertising message that makes itunnecessary to parse the HTML source for the model page in order toobtain this information.

In some embodiments, the publisher includes source for the advertisingmessage generation control in the model web page that, when the controlis activated, causes the browser to post to a server executing portionsof the facility information identifying the assets to be incorporated inthe generated advertising message. Here too, it is unnecessary for thefacility to parse the HTML source for the model page in order to obtainthis information.

As one example, Tables 3-6 below show an example of source for theadvertising message generation control in the model web page that, whenthe control is activated, causes the browser to post to a serverexecuting portions of the facility information identifying the assets tobe incorporated in the generated advertising message. Table 3 belowshows sample source included in the model web page that defines an“ipromote_widget” class for containing the information identifying theassets to be incorporated in the generated advertising message.

TABLE 3  1. <div class=“ipromote_widger”>  2.   <scripttype=“text/javascript”>  3.    var promotion = {  4.     title: ‘WebPage Title’,  5.     url: ‘http://yourdomain.com/page.html’,  6.    description: This is an example description summarizing the page’, 7.     photo1: ‘http://yourdomain.com/images/image1.jpg’,  8.    photo2: ‘http://yourdomain.com/images/image2.jpg’,  9.     photo3:‘http://yourdomain.com/images/image3.jpg’, 10.     headerColor:‘77ff39’, 11.     backgroundColor: ‘000000’, 12.     titleFontColor:‘2266ff’, 13.     bodyFontColor: ‘ff4499’, 14.     imageHeader:‘http://yourdomain.com/images/mylogo.jpg’, 15.     textHeader: ‘MyCompany’ 16.    }; 17.    var widget = { 18.     buttonhtml: ‘<divid=“ipromote_it”><a href=“javascript:void(0)”><img    src=“http://ipromote.com/imagedir/     layout/promoteit_small.png”/></a></div>’, 19.     buttonid: ‘ipromote_it’ 20.    }; 21.   </script>22.   <script type=“text/javascript” 23.  src=“http://ipromote.com/widget12/ipromoteit.php?partnerToken=00000-000-000-000024.   &uniqueID=11111&position=bottomRight&wid=1”> 25.   </script> 26. </div>

Table 4 below contains descriptions of the components of the promotionvariable defined by the ipromote_widget class in lines 3-16 of Table 3that actually contain the information identifying assets to beincorporated in the generated advertising message. In variousembodiments, the facility supports various variations of the shown listof components, including lists that include only some of the showncomponents, lists that include components not shown, lists that renameor otherwise reconfigure shown components, etc.

TABLE 4 component Description title: (optional) [utf-8 String]—The titleof the promotion to be displayed within the ads and reporting screens;defaults to document.title url: (optional) [fully qualified URL]—The URLof the page that is being promoted *must include http://; defaults todocument.location description: (optional) [utf-8 String]—A Shortdescription of the page that may be displayed within the ads; defaultsto first 200 characters in <body> tag photoX: (optional) [fullyqualified URL]—Images that will be show within the ads. You can specifyas many images as you like (.jpg, .gif, .png). Use high resolutionimages for best results. Syntax is as follows: photo1:‘http://yourdomain.com/images/image1.jpg’, photo3:‘http://yourdomain.com/images/image3.jpg’, photo2:‘http://yourdomain.com/images/image2.jpg’, . . . headerColor: (optional)[utf-8 String]—Header color to be used in the ads; defaults to youruser's page header color backgroundColor: (optional) [utf-8String]—Background color to be used in the ads; defaults to your user'spage background color titleFontColor: (optional) [utf-8 String]—Titlefont color to be used in the ads; defaults to your user's page titlefont color bodyFontColor: (optional) [utf-8 String]—Font color to beused in the ads; defaults to your user's page font color imageHeader:(optional) [fully qualified URL]—Image to use in the Ad header (usuallya logo) textHeader: (optional) [utf-8 String]—Text to use in the AdHeader

Table 5 below contains descriptions of the components of the widgetvariable defined by the ipromote_widget class in lines 17-20 of Table 3that specify how to generate the appearance of the control, also calledthe button. In various embodiments, the facility supports variousvariations of the shown list of components.

TABLE 5 component Description buttonhtml: HTML for drawing widget buttonbuttonid: identification for widget button

Table 6 below shows descriptions of the parameters for the widget scriptshown in lines 22-25 of Table 3.

TABLE 6 parameter description partnerToken: (required) [utf-8String]—The partner token given to you by iPromote when you first signedup uniqueID: (suggested) [utf-8 String]—A unique id for this page orthis user that assists the system in tracking. Ensures the system canproperly deliver stats for this promotion (i.e. Ads Served, Clicks,etc.) position: (optional) [utf-8 String]—The orientation of the widgetpopup in relation to the button. Allowed values: [bottom Right, bottomLeft, topRight, topLeft, inlLine] wid: (suggested) [utf-8 String]—Aunique id for each widget and its corresponding button on this page

FIG. 8 is a flow diagram showing steps typically performed by thefacility in some embodiments when a page contains source for theadvertising message generation control similar to that shown in Table 3.In step 801, the browser submits a request for dynamic javascript to aweb server, such as a request in accordance with lines 22-25 of Table 3.In step 802, that server returns the requested dynamic javascript forinclusion in the page, where it replaces the script tag that generatedthe request. In step 803, the browser executes the dynamic javascript.As a first matter, the dynamic javascript generates a dynamic formcontaining data from the page that is needed or useful to generate anadvertising message for the subject page. The executing dynamicjavascript further, in response to activation of the control, posts thegenerated dynamic form to a server for use in generating an advertisingmessage. After step 803, the steps conclude.

Table 7 below shows a sample form that is generated and posted by thedynamic javascript in accordance with the example page shown in Table 3.

TABLE 7 field value partnerToken: 00000-000-000-0000 uniqueID: 11111position: bottom Right wid: 1 title: ‘Web Page Title’ url:‘http://yourdomain.com/page.html’ description: ‘This is an exampledescription summarizing the page’ photo1:‘http://yourdomain.com/images/image1.jpg’ photo2:‘http://yourdomain.com/images/image2.jpg’ photo3:‘http://yourdomain.com/images/image3.jpg’ headerColor: ‘77ff39’backgroundColor: ‘000000’ titleFontColor: ‘2266ff’ bodyFontColor:‘ff4499’ imageHeader: ‘http://yourdomain.com/images/mylogo.jpg’textHeader: ‘My Company’ buttonhtml: ‘<div id=“ipromote_it”><ahref=“javascript:void(0)”><img  src=“http://ipromote.com/imagedir/ layout/promoteit_small.png” /></a></div>’ buttonid: ‘ipromote_it’

In some embodiments, the facility permits the publisher to includemultiple controls in the model web page, each of which causes adifferent advertising message to be generated for the model web page, asshown below in Table 8.

TABLE 8  1. <!--START iPromote Widget Snippet #1-->  2. <divclass=“ipromote_widget”>  3.  <script type=“text/javascript”>  4.  varpromotion = {  5.  ....  6.  };  7.  var widget = {  8.   buttonhtml:‘<div id=“ipromoteit_1”> <a href=“javascript:void(0)”><img  9.   src=“http://ipromote.com/imagedir/ 10.    layout/promoteit_small.png”/></a></div>’, 11.   buttonid: ‘ipromoteit_1’ 12.  }; 13.  </script> 14. <script type=“text/javascript” 15. src=“http://ipromote.com/widget12/ipromoteit.php?partnerToken=00000-000-000-000016.  &uniqueID=11111&position=bottomRight&wid=1”> 17.  </script> 18.</div> 19. <!--END iPromote Widget Snippet #1--> 20. <!--START iPromoteWidget Snippet #2--> 21. <div class=“ipromote_widget”> 22.  <scripttype=“text/javascript”> 23.  var promation = { 24.  ... 25.  }, 26.  varwidget = { 27.   buttonhtml: ‘<div id=“ipromoteit_2”> <ahref=“javascript:void(0)”> <img 28.   src=“http://ipromote.com/imagedir/ 29.   layout/promoteit_small.png”/></a></div>’; 30.   buttonid:‘ipromoteit_2’ 31.  }; 32.  </script> 33.  <scripttype=“text/javascript” 34. src=“http://ipromote.com/widget12/ipromoteit.php?partnerToken=00000-000-000-000035.  &uniqueID=11111&position=bottomRight&wid=2”> 36.  </script> 37.</div> 38. <!--END iPromote Widget Snippet #2-->

Each of the controls is uniquely identified by a different value of thewid parameter, as shown in lines 16 and 35 of Table 8, and a differentvalue of the buttonid component of the widget variable, as shown inlines 11 and 30 of Table 8.

Returning to FIG. 3 , in step 303, the facility retrieves assetsidentified in step 302 that are external to the page, such as images,video and audio streams, animations, etc.

In some embodiments, the facility generates multiple differentadvertising messages in response to each user request. These differentadvertising messages, referred to as “advertising messageconfigurations,” can correspond to various advertising messagedimensions, media types, maximum or target data sizes and/or data rates,etc. For example, the Interactive Advertising Bureau providesspecifications for different standard advertising message types, such asat www. iab.net/iab_products_and_industry_services/1421/1443/1473/81563and www.iab.net/iab_products_and_industry_services/1421/1443/1452. Thoseskilled in the art will appreciate that various other advertisingmessage configurations may be supported by the facility.

In step 304-309, the facility loops through each of the advertisingmessage configurations it supports. In step 305, the facilityappropriately sizes and stores copies of assets identified in step 302in a manner appropriate for the dimensions and other attributes of thecurrent advertising message configuration. For text assets, this mayinclude cropping the text and/or changing or setting its size. Forimages, video streams, etc., this can involve cropping, zooming,panning, etc. In step 306, the facility constructs an XML definition ofthe advertising message employing the assets as sized in step 305. Asample XML definition is shown below in Table 9 that corresponds to theHTML source shown in Table 1.

TABLE 9  1. <?xml version=“1.0” encoding=“utf-8” ?>  2. <MediaPackage> 3. <Properties>  4. <LogoText>Toyota of Santa Maria</LogoText>  5.<DarkForeground>1</DarkForeground>  6.<DarkBackground>1</DarkBackground>  7. <Title>2006 Honda OdysseyEX-L</Title>  8. <Description/>  9. <Category>11</Category> 10.<Location>Santa Maria</Location> 11. <Price>$27,967.00</Price> 12.<LogoImage></LogoImage> 13. <ImageCount>3</ImageCount> 14.<Image_1>http://images.cars.com/main/DMI/25289/11517.jpg</Image_1> 15.<Image_2>http://images.cars.com/main/DMI/25289/11517.02.jpg</Image_2>16.<Image_3>http://images.cars.com/main/DMI/25289/11517.03.jpg</Image_3>17. <Condition></Condition> 18. <HeaderColor>562cab</HeaderColor> 19.<BackgroundColor>ffffff</BackgroundColor> 20.<TitleFontColor>f5812c</TitleFontColor> 21.<BodyFontColor>888888</BodyFontColor> 22. <PromotionURL> 23.http://www.cars.com/go/search/detail.jsp;?tracktype=usedcc&amp;searchType=21&amp;pageNumber=0&amp;numResultsPerPage=50&amp;largeNumResultsPerPage=0&amp;sortorder=descending&amp;sortfield=PRICE+descending&amp;certifiedOnly=false&amp;criteria=K-%7CE-%7CM-_18_%7CD-_215_%7CN-N%7CR-30%7CI-1%7CP-PRICE+descending%7CQ-descending%7CZ-93401&amp;aff=national&amp;paId=250149140&amp;recnum=0&amp;leadExists=true24. </PromotionURL> 25. </Properties> 26. </MediaPackage>

The dealer name extracted from line 24 of Table 1 is included on line 4of Table 9. The title text extracted from line 11 of Table 1 is includedat line 7 of Table 9. The dealer location extracted from line 42 ofTable 1 is included at line 10 of Table 9. The price extracted from line22 of Table 1 is included at line 11 of Table 9. The image URLsextracted from lines 18-20 of Table 1 are included at lines 14-16 ofTable 9. The color values extracted from lines 14-17 of Table 1 areincluded at lines 18-21 of Table 9. In step 307, the facility parses theXML definition constructed in step 306 to obtain an XML tree. In step308, the facility uses the tree obtained in step 307 to construct theadvertising message. In some embodiments, in step 306, the facilityconstructs a Macromedia Flash file having the “.swf” file nameextension. The constructed Flash file contains a reference to the XMLtree that causes an action receipt included in the Flash file to loadthe XML tree and use it as a basis for presenting the advertisingmessage. In some embodiments, the facility includes in the generatedadvertising message a link that viewers of the advertising message canactivate to display the model web page, or another web page specified bythe user. In step 309, if additional advertising message configurationsremain to be processed, then the facility continues in step 304 toprocess the next advertising message configuration, else the facilitycontinues in step 310.

In step 310, the facility displays a preview of one or more of thegenerated advertising messages. In step 311, the facility enables theuser to modify the generated advertising messages.

FIG. 9 is a display diagram showing a sample preview display presentedby the facility. The display 900 includes a preview of one of theadvertising messages generated for the model page shown in FIG. 4 . Theadvertising message preview 910 includes elements from the model page,including an image 811 cropped from image 410 and/or image 411 shown inthe model page, text 912 identifying the car, text 913 identifying theauto dealer, text 914 identifying the location of the auto dealer, andlogo 915 for the publisher web site. The advertising message previewfurther includes a control 916 for traversing a link to the model webpage. The advertising message preview further incorporates colors and/orfonts from the model page.

The page further includes a control 921 that the user can activate inorder to display the different advertising messages generated by thefacility for the different advertising message configurations. Thedisplay also includes a control 922 that the user can activate in orderto modify the generated advertising message or advertising messages.

FIG. 10 is a display diagram showing a typical display presented by thefacility when the user activates the change advertising message controlshown in FIG. 9 . The user interface presents a copy 1010 of thegenerated advertising message. The advertising message is accompanied byplay and pause controls 1011 and 1012, respectively, that the user canuse to play and pause time-index materials associated with theadvertising message, such as image slide shows, video/audio sequences,animations, etc. Panel 1020 represents different types of modificationsthat the user may make to the advertising message. The user may selectany of controls 1031-1034 to select different visual effects to beapplied to the advertising message, including panning, image carousel,video scanning, etc. The user may also drag to spaces 1041-1043 anyimages that the user wishes to have incorporated in the advertisingmessage. The user may drag to these spots any of the images 1044-1047shown on the left side of the display. The user may also select tab 1048in order to display video clips that can be dragged to the spots forinclusion in the advertising message, or tab 1049 to display audio clipsthat can be included in the advertising message by dragging them to anaudio spot 1044. Further, the user can activate control 1050 in order todirectly upload media of virtually any type for inclusion in theadvertising message. The display further includes text fields 1051,1053, 1055, and 1057 whose contents the user may edit for inclusion inthe advertising message. Each text field is accompanied by a show checkbox 1052, 1054, 1056, and 1058 that the user may check or uncheck todetermine whether the corresponding text will appear in the advertisingmessage. The display further includes four colors 1061-1064 used in theadvertising message. The user may select any of those in order to changeit. In some embodiments, the user can type a new color value afterselecting one of the colors. In some embodiments, when the user selectsa color, the facility presents a color picker user interface that theuser may navigate in order to select a new color value for the selectedcolor (not shown). After the user has made desired modifications, theuser selects a save changes control 1071. If the user wishes to revertto the originally-generated advertising message, the user can select thecancel control 1072 to return to the display shown in FIG. 9 withoutmaking any changes.

Returning to FIG. 3 , in step 312, the facility receives informationfrom the user about targeting the advertising message, specifying itsduration, and providing billing information. In step 313, the facilityactivates the advertising messages in accordance with the informationspecified by the user. After step 313, these steps conclude.

Those skilled in the art will appreciate that the steps shown in FIG. 3may be altered in a variety of ways. For example, the order of the stepsmay be rearranged; substeps may be performed in parallel; shown stepsmay be omitted, or other steps may be included; etc.

Returning to FIG. 9 , the display 900 includes a control 921 usable bythe user to specify a geographic region to which the advertising messageis to be targeted. In various embodiments (not shown), the facilitypermits the user to specify a variety of other types of targeting,including behavioral targeting, profile-based targeting, and specificpublisher or publisher group targeting. The display also contains anindication 922 of the cost to the advertiser each time a user clicksthrough the generated advertising message. The display further includesa control 923 that the user may use in order to specify a daily budgetfor the advertising message. Typically, when the daily budget is reachedduring a particular day, the advertising message is not presented againuntil the next day. The display also includes a control 924 that theuser can use to specify a duration for presenting the advertisingmessage. The display also includes controls for specifying billinginformation used to pay for presenting the advertising message,including address information 931, credit card information 932, and anindication 933 of whether the billing information should be saved as abasis for presenting future advertising messages. After the user issatisfied with the information that the user has specified in connectionwith the generated advertising message, the user selects control 941 inorder to activate the advertising message. If the user has decidedagainst activating the advertising message, the user can select a skipcontrol 942.

In some embodiments, the facility provides a mechanism for the user todownload the generated and/or modified advertising messages andassociated resources. In some embodiments, the facility provides amechanism for providing the generated and/or modified advertisingmessages directly from the facility to a third-party advertising agencyor ad serving service provider.

FIG. 11 is a flow diagram showing steps typically performed by thefacility in order to generate display advertising messages based upon atextual advertising message feed received from a publisher. In someembodiments, these steps are performed by the facility periodically,such as once per day.

In step 1101, the facility receives the feed from the publisher or othersource providing the feed. In some embodiments, the feed is autonomouslypublished by the publisher and passively received by the facility. Insome embodiments, the facility actively retrieves the feed from thepublisher, either periodically or when needed.

In steps 1102-1105, the facility loops through each textual advertisingmessage described by the feed received in step 1101. In step 1103, thefacility extracts a web page identifier from the message description. Invarious embodiments, the web page identifier is a URL that may be usedto retrieve the web page; or a non-URL web page identifier that has beenassociated with a web page by its publisher, and that may be passed tothe publisher via a direct interface as part of a request that thepublisher explicitly identify assets to be included in the advertisingmessage. In step 1104, the facility automatically generates one or moredisplay advertising messages corresponding to the described message asdiscussed above in connection with FIG. 3 , using the web page whoseidentifier was extracted in step 1103 as the model page. Depending onthe nature of the web page identifier extracted in step 1103, in variousembodiments step 1104 involves making an HTTP request for the identifiedpage, making a request of the publisher via its direct interface forassets of the identified page, extracting information identifying assetsfrom the feed describing advertising messages, or extracting informationidentifying assets from a separate feed provided by the same ordifferent source.

In some embodiments, as part of step 1104, the facility determineswhether the identified web page contains a link or other reference to adifferent web page that is more likely than the identified web page tocontain assets that provide a better basis for generating an effectivedisplay advertising message and, if so, uses the other web page ratherthan the identified web page as the model page. For example, in someembodiments, where the identified web page is a business profile page ona local business directory website that contains a link to the profiledbusiness's home page, the facility uses the profiled business's homepageas the model page when automatically generating display advertisingmessages.

In some embodiments, as part of step 1104, the facility automaticallyselects one or more stock photography images as a basis for generating adisplay advertising message using text associated with the identifiedweb page. For example, in various embodiments, the facility retrievessuch text from the identified web page and/or a related web page, suchas a web page to which the identified web page contains a link or otherreference; retrieves such text from a textual advertising message forthe web page; and/or explicitly solicits the text from a user associatedwith the advertiser. In some embodiments, text retrieved by the facilityfrom a web page includes tag text, meta-tag text, and keywords of theweb page. In some embodiments, the facility performs this automaticselection of stock photography images where the identified web page andrelated web page contain an inadequate number of assets—such as zero, oran inadequate number of assets—such as zero—determined to be ofsufficient quality, such as based upon the format of the asset (e.g.,JPG versus GIF), the dimensions of the assets, etc. FIG. 12 , discussedbelow, shows additional details of the process of automaticallyselecting stock photography images.

In step 1105, if additional advertising messages described by the feedremain to be processed, then the facility continues in step 1102 toprocess the next advertising message described by the feed, else thesesteps conclude.

In some embodiments, the facility provides the display advertisingmessages generated based upon a feed received from a publisher to thepublisher, such as in a feed directed to the publisher. The publishermay sell a placement for the generated display advertising messages tothe advertiser, or may immediately place them based upon an existingagreement with the advertiser.

In some embodiments, the operator of the facility sells a placement forthe generated display advertising messages to the advertiser. In variousembodiments, the facility establishes the details of this placement—suchas price, periodic budget, and geographic region—based upon informationcontained in the feed or otherwise received from the publisher about theadvertiser's textual advertising message placement, informationsolicited from the advertiser, or both.

Table 10 below shows example contents of a typical entry in a sampletextual advertising message feed.

TABLE 10 1. link: http://seattle.citysearch.com/profile/10776759 2.text: Enjoy delicious Pakistani and Indian Curry at Café Zum Zum indowntown Seattle! 3. keywords: curry, lunch 4. price: $.03/click 5.budget: $50/month 6. geographic region: pacnw

When the facility encounters this entry in performing the steps of FIG.11 , it examines the contents of the business profile page at the URLcontained in line 1. If that page contains a link to the profiledbusiness's home page, then the facility generates a display ad using theassets on the linked-to home page. Otherwise, the facility generates adisplay ad using the assets on the business profile page at the URLcontained in line 1. In some embodiments, the facility goes on toautomatically create an advertising placement for the generated displayadvertising message using the information contained in lines 4-6 aboutthe advertiser's textual advertising message placement. For example,based upon the information contained in lines 4-6, the facility maycreate a display placement for $.06/click, $25/month, in the pacnwregion.

FIG. 12 is a flow diagram showing steps typically performed by thefacility in order to automatically select one or more stock photographyimages based upon text associated with the model web page. In step 1201,the facility removes noise words from the text, such as articles,pronouns, etc. In step 1202, for each of a number of different subjectmatter categories, the facility generates a list of the words orcontiguous phrases contained by the text that are each identified ascharacterizing the category. These words and phrases are referred toherein as “terms.” In some embodiments, the facility uses a categorymatching table to perform step 1202.

FIG. 13 is a table diagram showing sample contents of a categorymatching table that identifies words and/or phrases that characterizesubject matter categories. The table is comprised of rows, such as rows1311-1319. Those skilled in the art will appreciate that, while only alimited number of rows are shown in FIG. 13 for the sake of readability,in various embodiments, the category matching table can contain a largenumber of rows, such as hundreds, thousands, tens of thousands, orhundreds of thousands of rows. Each row is divided into the followingcolumns: a category column 1301, a term column 1302, and a weight column1303. Each row indicates that the word or phrase in column 1302characterizes the category in column 1301 with the weight or level ofcertainty in column 1303. For example, row 1312 indicates that the word“server” characterizes the “Food & Dining” category with the weight of0.12, while row 1313 indicates that the phrase “food server”characterizes the “Food & Dining” category with the weight of .44. Invarious embodiments, a variety of approaches are used to obtain thecategory matching table, such as constructing the table under thecontrol of human editors; automatically constructing the table byautomatic analysis of text, such as automatically determining the simplefrequency or inverse document frequency of web pages or other documentsto which categories have been applied; procuring the table from anexternal source; etc.

In some embodiments, the facility performs step 1202 by, for eachcategory, selecting the rows of the category matching table that containthe category in category column 1301 and contain a word or phrasepresent in the text in word/phrase column 1302. In some embodiments,where the facility selects a first row whose word or phrase is whollycontained in the word or phrase of a second selected row, the facilitydeselects the first row unless the text at some point contains the wordor phrase of the first row without containing the word or phrase of thesecond row. In some embodiments, where a row's word or phrase is notpresent in the text, but matches a portion of the text when the word orphrase of the row and the words in the portion of the text are stemmed,the row is selected. In some embodiments, where a row's word or phraseis not present in the text, but a synonym of the row's word or phraseidentified by a thesaurus is present in the text, the row is selected.

In step 1203, for each category, the facility uses the list generatedfor the category in step 1202 to determine a score indicating the extentto which the text relates to the category. In some embodiments, thefacility performs step 1203 as shown in FIG. 14 .

FIG. 14 is a flow diagram showing steps typically performed by thefacility in order to determine a score for each category indicating theextent to which the text relates to the category. In steps 1401-1407,the facility loops through each category. In steps 1402-1405, thefacility loops through each or word or phrase in the list generated forthe category in step 1202. In step 1403, the facility determines thefrequency with which the word or phrase occurs in the text. In step1404, the facility multiplies the frequency determined in step 1403 forthe term by the weight contained by the category matching table for theterm. For example, if the phrase “food server” occurs twice in the text,the facility multiplies the frequency of two by the weight of 0.44 shownin row 1313 of the category matching table to obtain the product 0.88.In some embodiments, as part of step 1404 (not shown), the facilityfurther multiplies into the product the number of words contained by theterm. To extend the example above for the phrase “food server,” thefacility multiplies the frequency of two by the weight of 0.44 by twowords to obtain the product 1.76. In step 1405, if additional termsremain to be processed, then the facility continues in step 1402 toprocess the next term, else the facility continues in step 1406. In step1406, the facility sums the products determined in step 1404 for thecategory to obtain a score for the category. In step 1407, if additionalcategories remain to be processed, then the facility continues in step1401 to process the next category, else these steps conclude.

In some embodiments, rather than performing steps 1402-1406 to determinea score for a particular category, the facility uses the followingformula:

$\frac{{unique}{category}{terms}{in}{text}}{\begin{matrix}{{unique}{terms}{in}{text}} \\{{matching}{any}{category}}\end{matrix}} + \frac{\begin{matrix}{{total}{number}{of}{category}} \\{{term}{occurrences}{in}{text}}\end{matrix}}{\begin{matrix}{{total}{number}{of}{occurrences}} \\{{in}{text}{of}{terms}} \\{{matching}{any}{category}}\end{matrix}}$

In some embodiments, rather than performing steps 1402-1406 to determinea score for a particular category, the facility uses the followingformula:

$\frac{{unique}{category}{terms}{in}{text}}{\begin{matrix}{{unique}{terms}{in}{text}} \\{{matching}{any}{category}}\end{matrix}} + \frac{\begin{matrix}{{sum}{across}{each}{unique}} \\{{category}{term}{in}{text}} \\\left( {{number}{of}{occurrences}{of}} \right. \\{{term}{in}{category} \times} \\\left. {{number}{of}{words}{in}{term}} \right)\end{matrix}}{\begin{matrix}{{total}{number}{of}{occurrences}} \\{{in}{text}{of}{terms}} \\{{matching}{any}{category}}\end{matrix}}$

In some embodiments, rather than performing steps 1402-1406 to determinea score for a particular category, the facility uses the followingformula:

$\frac{{unique}{category}{terms}{in}{text}}{\begin{matrix}{{unique}{terms}{in}{text}} \\{{matching}{any}{category}}\end{matrix}} + \frac{\begin{matrix}{{sum}{across}{each}{unique}} \\{{category}{term}{in}{text}} \\\left( {{number}{of}{occurrences}{of}} \right. \\{{term}{in}{category} \times} \\{{number}{of}{words}{in}{term} \times} \\\left. {{term}{weight}} \right)\end{matrix}}{\begin{matrix}{{total}{number}{of}{occurrences}} \\{{in}{text}{of}{terms}} \\{{matching}{any}{category}}\end{matrix}}$

Returning to FIG. 12 , in step 1204, the facility selects the categoryhaving the highest score. In step 1205, the facility generates a querycontaining at least a portion of the terms in the list generated for theselected category. In various embodiments, the facility generates aquery containing all the terms in the list; only the terms in the listwhose frequencies exceed a cutoff value; only the terms in the listhaving the top n frequencies; only the terms in the list whosefrequency-weight products exceed a cutoff value; or only the terms inthe list having the top n frequency-weight products. In step 1206, thefacility submits the query generated in step 1205 to a stock photographysearch engine made available by a stock photography image service toobtain a query result identifying stock photography images matching thequery. In some embodiments, the obtained query result lists theidentified stock photography images in decreasing order of relevance tothe submitted query, and/or includes an explicit relevance score foreach identified stock photography image. In step 1207, the facilitymakes use of at least one of the stock photography images identified bythe query result in generating an advertising message for the modelpage. In some embodiments, step 1207 involves selecting the mostrelevant stock photography image or images; paying the stock photographyimage service for the selected image or images; and automaticallyincluding the selected image or images in the advertising messagegenerated by the facility. In some embodiments, step 1207 involvesloading previews of several of the most relevant stock photographyimages into the media locker for the model web page, and only paying forany of these images when a user associated with the advertiser dragsthem from the media locker into the generated advertising message. Invarious embodiments, the operator of the facility explicitly passes onthe actual cost of the used images to the advertiser; explicitly passeson a marked-up version of the cost of the used images to the advertiser;or charges the advertiser a total amount that incorporates the cost ofthe used images without explicitly identifying this cost. After step1207, these steps conclude.

In some embodiments, rather than performing steps 1202-1205, thefacility generates a query to be submitted to a stock photography searchengine in step 1206 by submitting at least a portion of the unique termsoccurring in the text to a set builder tool—such as Google's setbuilding tool at http://labs.google.com/sets, Merriam Webster's OnelookReverse Dictionary at http://www.onelook.com/reverse-dictionary.shtml,or an online thesaurus such as Sinonimi athttp://sinonimi.sourceforge.net—and generates the query from the termsreturned by the set builder tool. In various embodiments, the terms fromthe text submitted to the set builder tool are (a) all of the uniqueterms in the text, (b) the top n most frequent terms in the text, or (c)the terms in the text whose frequency exceeds a cutoff value.

In some embodiments, rather than performing steps 1201-1205, thefacility solicits a set of words or phrases characterizing the modelpage from a user associated with the advertiser. In such embodiments, itis a query containing the solicited set of words or phrases that thefacility submits to the stock photography search engine in step 1206.

It will be appreciated by those skilled in the art that theabove-described facility may be straightforwardly adapted or extended invarious ways. For example, the facility may generate advertisingmessages from model pages having a wide variety of file types and/orformats. The facility may extract a wide variety of kinds of contentfrom the model page, and be used in conjunction with a variety of userinterfaces for modifying and/or activating generated advertisingmessages. The feed used by the facility to automatically generatedisplay advertising messages may describe advertising messages of a widevariety of types. The feed may be received or obtained from a variety ofkinds of publishers, or sources of other types. The feed may be provideda wide variety of formats, may be assembled by the facility from thecontents of multiple separate feeds, etc. The facility may use a widevariety of information retrieval and/or text mining techniques togenerate a query from the text associated with the model page to selecta stock photography image. Additionally, the facility may interact witha wide variety of different types of interfaces provided by stockphotography image services to automatically select appropriate stockphotography images. While the foregoing description makes reference toparticular embodiments, the scope of the invention is defined solely bythe claims that follow and the elements recited therein.

We claim:
 1. A computer-readable storage medium storing instructionsthat, when executed by a computing system, cause the computing system toperform a process comprising: receiving a data feed including: anidentification of a first web page from which a component can beextracted; and at least one of a feature to be included in a displaymodule, a search parameter for content for the display module, or aparameter for using the display module; automatically selecting an imagefor the display module by: identifying a second web page that containsan asset that provides for effective display of the display module; andextracting the image from the second web page; extracting the componentfrom the first web page; and generating the display module toincorporate the selected image and format the display module based onthe component extracted from the first web page.
 2. Thecomputer-readable storage medium of claim 1, wherein automaticallyselecting the image for the display module comprises: determining thatthe first web page contains a reference to the second web page.
 3. Thecomputer-readable storage medium of claim 1, wherein automaticallyselecting the image for the display module comprises: selecting thesecond web page from a network domain that includes the first web page.4. The computer-readable storage medium of claim 1, whereinautomatically selecting the image for the display module comprises:determining that the first web page belongs to a first network domain;and selecting the second web page from a second network domain differentfrom the first network domain.
 5. The computer-readable storage mediumof claim 1, wherein automatically selecting the image for the displaymodule comprises: determining that the first web page is for a businessentity; and identifying that the second web page is for the businessentity, wherein the first web page and the second web page belong to asame or different network domains.
 6. The computer-readable storagemedium of claim 1, wherein automatically selecting the image for thedisplay module comprises: determining that the first web page belongs toa first network resource; and selecting the second web page from asecond network resource different from the first network resource. 7.The computer-readable storage medium of claim 1, wherein the displaymodule is a first display module, and wherein generating a seconddisplay module comprises automatically selecting a second image for thesecond display module by: extracting text from a third web pageidentified in a second textual section for the second display module;and executing an image search process using a query that is based on oneor more terms identified in the extracted text.
 8. The computer-readablestorage medium of claim 1, wherein automatically selecting the image forthe display module comprises: extracting text from a textual section ofthe first web page; identifying, for each of multiple subject mattercategories, terms in the extracted text that match that subject mattercategory; computing a score, for each of the subject matter categories,based upon a frequency of terms in the extracted text identified asmatching that subject matter category; and executing an image searchusing a query that is based on the terms matching one of the subjectmatter categories with a highest score.
 9. The computer-readable storagemedium of claim 1, wherein the display module is a first display module,and wherein generating a second module comprises automatically selectinga second image for the second display module by: extracting text from athird web page identified in a second textual section for the seconddisplay module; identifying, for each of multiple subject mattercategories, terms in the extracted text that match that subject mattercategory; computing a score, for each of the subject matter categories,based upon: a frequency of terms in the extracted text identified asmatching that subject matter category, and a weight, assigned to eachterm in the extracted text identified as matching that subject mattercategory, indicating an extent to which the term relates to that subjectmatter category; and executing an image search using a query that isbased on at least some of the terms matching one of the subject mattercategories with a highest score.
 10. A computing system for constructingadvertising messages, the computing system comprising: one or moreprocessors; and one or more memories storing instructions that, whenexecuted by the one or more processors, cause the computing system toperform a process comprising: receiving data including: anidentification of a first web page from which a component can beextracted; and one or more sections defining features to be included inan advertising message, a search parameter for content for theadvertising message, or a parameter for using the advertising message;and extracting the component from the first web page; automaticallyselecting an image for the advertising message by: determining that thefirst web page lacks a type or characteristic of asset for theadvertising message; and in response to the lack of the type orcharacteristic of asset, selecting an image based on a search parameterfor content that remedies for the lack of the type or characteristic ofasset; and generating the advertising message by: incorporating theautomatically selected image; and formatting the advertising messagebased on the component extracted from the first web page.
 11. Thecomputing system of claim 10, wherein automatically selecting the imagefor the advertising message comprises: determining that the first webpage contains a reference to a second web page that includes the image.12. The computing system of claim 10, wherein automatically selectingthe image for the advertising message comprises: determining that thefirst web page belongs to a website; and selecting the image from asecond web page from the website.
 13. The computing system of claim 10,wherein automatically selecting the image for the advertising messagecomprises: determining that the first web page belongs to a website andpresents content of a business entity; and identifying a second web pagethat belongs to another website other than the website of the first webpage and presents content of the business entity, wherein the second webpage includes the image.
 14. The computing system of claim 10, whereinautomatically selecting the image for the advertising message comprises:determining that a second web page includes the image; and determiningthat the first web page and the second web page present informationabout a particular business entity, wherein the advertising message isfor the particular business entity.
 15. The computing system of claim10, wherein automatically selecting the image for the advertisingmessage comprises: selecting the image from a repository of images. 16.The computing system of claim 10, wherein automatically selecting theimage for the advertising message comprises: determining that a secondweb page includes the image; and selecting the second web page from anetwork resource different from another network resource of the firstweb page, wherein the first web page and the second web page are for acommon business entity.
 17. A computer-readable storage medium storinginstructions that, when executed by a computing system, cause thecomputing system to perform a process comprising: receiving a data feedincluding, for each of multiple content sections: an identification of acorresponding web page from which a component can be extracted; and atleast one of: a feature to be included in a display module, a searchparameter for content for the display module, or a parameter for usingthe display module; automatically selecting an image for the displaymodule by: identifying a related web page that contains an asset thatprovides for effective display of the display module; and extracting theimage from the related web page; for each of the multiple contentsections: extracting a particular component from a particularcorresponding web page; generating a particular display module toincorporate a particular automatically selected image from a particularrelated web page; and formatting the particular display module based onthe component extracted from the particular corresponding web page. 18.The computer-readable storage medium of claim 17, wherein automaticallyselecting the particular image for the particular display modulecomprises: determining that the particular corresponding web pagecontains a reference to the particular related web page.
 19. Thecomputer-readable storage medium of claim 17, wherein automaticallyselecting the particular image for the particular display modulecomprises: determining that the particular corresponding web page andthe particular related web page belong to a same network domain.
 20. Thecomputer-readable storage medium of claim 17, wherein automaticallyselecting the particular image for the particular display modulecomprises: determining that the particular corresponding web page istargeted to a particular business entity; and determining that theparticular related web page is targeted to the particular businessentity, wherein the particular corresponding web page and the particularrelated web page belong to a same or different network domains.